TEXT ANALYTICS SERVICE
Using natural language processing, text analytics, and data-mining technologies, Intelligent Tagging turns large amounts of unstructured data into precise advantage.
Thomson Reuters Intelligent Tagging gives you the fastest, easiest, and most accurate way to tag the people, places, facts, and events in your content to increase its value, accessibility, and interoperability.
Each entity extracted receives a relevance score that accurately indicates how important that entity is to the document. In doing this, it reveals trends, patterns, gaps, and opportunities that are filtered for relevance and mapped to the right connections, thereby making your content richer, and turning big data into a more precise advantage.
All of this makes content more accessible and valuable via the automatic generation of rich metadata. Thomson Reuters Intelligent Tagging uses natural language processing (NLP), text analytics, and data-mining technologies to derive meaning from all that unstructured information out there – including research reports, news articles, blog posts, and more.
Making data smarter to drive opportunity
Thomson Reuters Intelligent Tagging semantic metadata service gives you the fastest, more accurate way to tag the relevant people, place, facts, and events in your text, increasing its value, accessibility, and interoperability.
Gain insight into events in your business sector and securely map the information to your own proprietary data to create a nuanced picture of potential risk.
Mine news and social media plus government filings and other areas of big data to accurately predict and leverage alpha signals unapparent to others.
Bolster platforms you develop, including wealth management portfolios, to enrich your clients’ expectations so they’ll stay within your walls as their primary financial-services interface.
Rely on the highest standards
The Thomson Reuters key advantage is assigning unique identifiers, or PermIDs, which go beyond keywords, returning the right connections you’d otherwise miss.